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sae-gemma-2-2b-layer-1-res-jumprelu

SAELens
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@@ -12,4 +12,6 @@ Load these SAEs using SAELens as below:
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  from sae_lens import SAE
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  sae, cfg_dict, sparsity = SAE.from_pretrained("chanind/sae-gemma-2-2b-layer-1-res-jumprelu", "<sae_id>")
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- ```
 
 
 
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  from sae_lens import SAE
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  sae, cfg_dict, sparsity = SAE.from_pretrained("chanind/sae-gemma-2-2b-layer-1-res-jumprelu", "<sae_id>")
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+ ```
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+
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+ This SAE has L0=80, and 0.93 variance explained.